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cs.RO2026

Adaptive Repulsive Pheromone Clustering for Foraging Robot Swarms

Carlos Pena-Caballero, Constantine Tarawneh, Qi Lu

The Central Place Foraging Algorithm (CPFA) combines site fidelity, pheromone-guided navigation, and uninformed random search to enable decentralized resource collection in robot s…

cs.RO2026

Grouping Auction-Consensus Algorithm for Decentralized Task Allocation in Multi-Robot Systems

Jose Rodriguez, Sven Koenig, Wenjie Dong +1

Decentralized multi-robot task allocation (MRTA) is essential for scalable and resilient autonomous systems. The Consensus-Based Bundle Algorithm (CBBA) is a widely adopted decentr…

cs.RO2026

A Visitation Grid for Complete Coverage Foraging in Robot Swarms

Qi Arturo Gonzalez, Yifeng Gao, Li Zhang +1

The complete collection of sparse resources in large, unknown environments remains a challenging problem for autonomous robot swarms. Previous studies have shown that a substantial…

cs.RO2026

Auction-Consensus Algorithm with Learned Bidding Scheme for Multi-Robot Systems

Jose Rodriguez, Constantine Tarawneh, Sven Koenig +2

Multi-Robot Task Allocation (MRTA) is a central challenge in decentralized multi-agent systems, where teams of robots must cooperatively assign and execute tasks under limited comm…

cs.RO2026

Non-Contact Vibration-Based Damage Detection of Civil Structures Using a Cost-Effective Autonomous UAV

Javier Becerril, Maximiliano Vargas, Jennifer Herrera +6

This paper presents a non-contact approach for vibration-based structural damage detection using an autonomous and customized cost-effective unmanned aerial vehicle (UAV). Vibratio…

cs.RO2026

LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging

Peihan Li, Joanna Gutierrez, Fabian Hernandez +2

Swarm foraging algorithms, such as the central-place foraging algorithm (CPFA), typically rely on offline parameter optimization using genetic algorithms (GA) or reinforcement lear…